‘You’re committing crime in broad daylight’: Kalshi CEO defends prediction markets amid insider trading concerns

The Glass House Effect

For decades, the standard critique of prediction markets has been that they are a breeding ground for insider trading. The logic is simple: if you have private information about a court ruling or a corporate merger, you can bet on the outcome and profit before the rest of the world catches up. But Tarek Mansour, the CEO of Kalshi, is flipping that script. He argues that trying to trade on inside information in a public prediction market is effectively committing a crime in broad daylight.

As a founder, I appreciate the transparency of this perspective. Traditional markets are opaque. If someone trades on inside information in the private equity world or via dark pools, the public rarely sees the footprints until the SEC knocks on a door three years later. Prediction markets are different. Every trade is logged on a public ledger or a visible order book. The price moves in real time. If a sudden, massive bet comes in right before a major news event, everyone—from the regulators to the competition—can see exactly where it came from.

Building for Verification

For builders in the crypto and AI space, this is a lesson in architectural philosophy. We often talk about decentralization as a way to avoid censorship, but Mansour is pointing out that transparency is a feature for compliance, not a bug. By creating a system where every transaction is visible, you aren't just creating a fair market; you are creating a self-policing ecosystem. The incentive to cheat is high, but the probability of getting caught is even higher because the evidence is permanent and public.

This is where the skeptic in me leans in. While Mansour is right that the act is visible, the identity behind the act isn't always clear. We see the wallet address or the account ID, but we don't always know the person. However, in regulated environments like Kalshi, KYC requirements bridge that gap. For founders building decentralized versions of these tools, the challenge is maintaining that 'broad daylight' transparency while respecting user privacy—a needle that is incredibly difficult to thread.

The Information Aggregation Argument

The real value of these markets isn't just in the betting; it is in the data. Mansour’s defense hinges on the idea that prediction markets are the most efficient way to aggregate information. If someone knows something, they trade on it. That trade moves the price. That price movement alerts the rest of the world. In this sense, the 'insider' is actually performing a public service by updating the market's collective intelligence.

From a builder's perspective, this is the 'oracle' problem in reverse. Instead of trying to find a reliable data feed to tell the market what happened, the market becomes the data feed itself. If you are building AI agents that need to forecast future events, you shouldn't be looking at news headlines; you should be looking at the liquidity flows in these markets. The money speaks louder and faster than the journalists.

Regulation and Reality

The regulatory pressure on platforms like Kalshi and Polymarket is intensifying because they represent a shift in how society processes truth. Regulators are used to controlling information through centralized gatekeepers. Prediction markets bypass those gatekeepers. By defending his platform as a tool for transparency rather than a den of thieves, Mansour is making a tactical move to align with the goals of oversight bodies while maintaining the core utility of his product.

We have to be honest about the risks, though. Just because a crime is committed in broad daylight doesn't mean it won't happen. People are often irrational or overconfident in their ability to hide in plain sight. For those of us building the next generation of financial tools, our job isn't to prevent every bad actor from participating—that is impossible. Our job is to build systems where the cost of bad behavior is high and the visibility of that behavior is absolute.

The Founder Takeaway

If you are building in prediction markets or decentralized finance, stop apologizing for the 'wild west' nature of the tech. Instead, lean into the transparency. Use the fact that everything is on-chain or on-record as your primary security feature. The 'broad daylight' defense is powerful because it turns a perceived weakness into a structural strength. The more eyes there are on the data, the harder it is for the bad actors to stay in the shadows.

Publicly visible order books aren't just for traders; they are for the integrity of the entire system.

The future of these markets depends on whether the public and the regulators can accept that a visible crime is better than a hidden one. For now, the builders who focus on making their data as clear and accessible as possible will be the ones who survive the coming wave of scrutiny. Don't hide the trades; make them impossible to ignore.

Read the original at The Block →